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» MILIS: Multiple Instance Learning with Instance Selection
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DAWAK
2009
Springer
14 years 2 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
MIDDLEWARE
2007
Springer
14 years 1 months ago
Using checkpointing to recover from poor multi-site parallel job scheduling decisions
Recent research in multi-site parallel job scheduling leverages user-provided estimates of job communication characteristics to effectively partition the job across multiple clus...
William M. Jones
IJCAI
2003
13 years 9 months ago
Definition and Complexity of Some Basic Metareasoning Problems
In most real-world settings, due to limited time or other resources, an agent cannot perform all potentially useful deliberation and information gathering actions. This leads to t...
Vincent Conitzer, Tuomas Sandholm
SPIESR
1996
141views Database» more  SPIESR 1996»
13 years 9 months ago
Describing and Classifying Multimedia Using the Description Logic GRAIL
Many applications would benefit if media objects such as images could be selected and classified (or clustered) such that "conceptually similar" images are grouped toget...
Carole A. Goble, Christian Haul, Sean Bechhofer
ICCV
2007
IEEE
14 years 9 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...